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Neural Networks, Dreyfus


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Цена: 139310.00T
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Ориентировочная дата поставки: Август-начало Сентября
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Автор: Dreyfus
Название:  Neural Networks
Перевод названия: Нейронные сети
ISBN: 9783540229803
Издательство: Springer
Классификация:



ISBN-10: 3540229809
Обложка/Формат: Hardback
Страницы: 400
Вес: 0.90 кг.
Дата издания: 2005
Язык: English
Иллюстрации: 212 black & white illustrations, 7 black & white tables
Размер: 234 x 156 x 28
Читательская аудитория: Professional & vocational
Подзаголовок: Methodology and applications
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.
Дополнительное описание: Формат: 235x155
Илюстрации: 212
Круг читателей: Scientists
Ключевые слова: Neural networks
Data analysis
Pattern recognition
Robotics
Markov models
Язык: eng
Оглавление: Neural Networks: An Overview.- Modeling with Neural Networks: Principles and Model Design Methodology.- Modeling Methodology: Dimension Reduction and Re-sampling Methods.- Neural Identification of Controlled Dynamical Systems and Recurrent Networks.- Closed-Loop Control Learning.- Discrimination.- Self-organizing Maps and Unsupervised Classification.- Neural Networks without Training for Optimization.



Neural Networks for Pattern Recognition

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 92930.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Автор: Aminzadeh Fred, Sandham W., Leggett M.
Название: Geophysical Applications of Artificial Neural Networks and Fuzzy Logic
ISBN: 1402017294 ISBN-13(EAN): 9781402017292
Издательство: Springer
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Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is the first major text to encompass the wide diversity of geophysical applications of artificial neural networks (ANNs) and fuzzy logic (FZ). Each chapter, written by internationally-renowned experts in their field, represents a specific geophysical application, ranging from first-break picking and trace editing encountered in seismic exploration, through well-log lithology determination, to electromagnetic exploration and earthquake seismology. The book offers a well-balanced division of contributions from industry and academia, and includes a comprehensive, up-to-date bibliography covering all major publications in geophysical applications of ANNs and FZ. A special feature of this volume is the preface written by Professor Fred Aminzadeh, eminent authority in the field of artificial intelligence and geophysics. The enclosed CD-ROM contains full colour figures and searchable files, as well as short biographies of the editors.

Introduction to neural networks

Автор: Gurney, Kevin
Название: Introduction to neural networks
ISBN: 1857285034 ISBN-13(EAN): 9781857285031
Издательство: Taylor&Francis
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Цена: 71450.00 T
Наличие на складе: Невозможна поставка.
Описание: Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. It tackles various aspects of the field, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; and gradient descent methods.

Pattern Recognition and Neural Networks

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Цена: 51750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/


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